{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3f7d64be",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pymysql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e5da92d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "conn = pymysql.connect(user='root',passwd='123456',host='master',port=3306,db='spiders')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2225cb10",
   "metadata": {},
   "outputs": [],
   "source": [
    "commentsDF = pd.read_sql(\"select * from comments\",con=conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "99b5627f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>nickname</th>\n",
       "      <th>score</th>\n",
       "      <th>creationTime</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16355627442</td>\n",
       "      <td>w***7</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-24 18:10:19</td>\n",
       "      <td>24号首发送到的 手机特别特别特别好看 贴了钢化膜 边框膜 镜头膜 还有钢化手机壳 这些配件...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16355852435</td>\n",
       "      <td>徘***z</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-24 19:01:31</td>\n",
       "      <td>十七号晚上抢到的，今天一早就发货了，京东物流给力，包装非常好，很严实，很精致，质量非常好，品...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16355891658</td>\n",
       "      <td>c***6</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-24 19:09:45</td>\n",
       "      <td>苹果十三香手机PM 大个有份量 时尚新颖 外观绚丽 石墨灰经典色 延续经典传奇 系统顺滑不卡...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16355895466</td>\n",
       "      <td>****L</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-24 19:10:47</td>\n",
       "      <td>东西已经收到！手感不错！用料扎实！质量很好！平常用基本没有问题！\\n屏幕音效：特别清晰\\n拍...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16356173574</td>\n",
       "      <td>****s</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-24 20:21:00</td>\n",
       "      <td>京东物流，从来没失望过，很快就到了，手机很好看，远峰蓝爱了爱了，\\n外形外观：很好看，不同角...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            id nickname score         creationTime  \\\n",
       "0  16355627442    w***7     5  2021-09-24 18:10:19   \n",
       "1  16355852435    徘***z     5  2021-09-24 19:01:31   \n",
       "2  16355891658    c***6     5  2021-09-24 19:09:45   \n",
       "3  16355895466    ****L     5  2021-09-24 19:10:47   \n",
       "4  16356173574    ****s     5  2021-09-24 20:21:00   \n",
       "\n",
       "                                             content  \n",
       "0  24号首发送到的 手机特别特别特别好看 贴了钢化膜 边框膜 镜头膜 还有钢化手机壳 这些配件...  \n",
       "1  十七号晚上抢到的，今天一早就发货了，京东物流给力，包装非常好，很严实，很精致，质量非常好，品...  \n",
       "2  苹果十三香手机PM 大个有份量 时尚新颖 外观绚丽 石墨灰经典色 延续经典传奇 系统顺滑不卡...  \n",
       "3  东西已经收到！手感不错！用料扎实！质量很好！平常用基本没有问题！\\n屏幕音效：特别清晰\\n拍...  \n",
       "4  京东物流，从来没失望过，很快就到了，手机很好看，远峰蓝爱了爱了，\\n外形外观：很好看，不同角...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "commentsDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fad730b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 800 entries, 0 to 799\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count  Dtype \n",
      "---  ------        --------------  ----- \n",
      " 0   id            800 non-null    object\n",
      " 1   nickname      800 non-null    object\n",
      " 2   score         800 non-null    object\n",
      " 3   creationTime  800 non-null    object\n",
      " 4   content       800 non-null    object\n",
      "dtypes: object(5)\n",
      "memory usage: 31.4+ KB\n"
     ]
    }
   ],
   "source": [
    "# 统计每个时间段的评论数\n",
    "commentsDF.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "492ff933",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 800 entries, 0 to 799\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count  Dtype         \n",
      "---  ------        --------------  -----         \n",
      " 0   id            800 non-null    object        \n",
      " 1   nickname      800 non-null    object        \n",
      " 2   score         800 non-null    object        \n",
      " 3   creationTime  800 non-null    datetime64[ns]\n",
      " 4   content       800 non-null    object        \n",
      "dtypes: datetime64[ns](1), object(4)\n",
      "memory usage: 31.4+ KB\n"
     ]
    }
   ],
   "source": [
    "commentsDF['creationTime'] = pd.to_datetime(commentsDF['creationTime'])\n",
    "commentsDF.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e443152b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "commentsDF['date'] = commentsDF['creationTime'].apply(lambda x:datetime.strftime(x, \"%Y-%m-%d\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d6fe1484",
   "metadata": {},
   "outputs": [],
   "source": [
    "comment_per_day = commentsDF.groupby('date')['id'].count().reset_index().rename(columns={'id':'cnt'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "06ddeb26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-09-24</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-09-25</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-09-26</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-09-27</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-09-28</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021-12-07</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2021-12-08</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2021-12-09</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2021-12-10</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2021-12-11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>76 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          date  cnt\n",
       "0   2021-09-24    9\n",
       "1   2021-09-25   27\n",
       "2   2021-09-26   15\n",
       "3   2021-09-27   12\n",
       "4   2021-09-28   11\n",
       "..         ...  ...\n",
       "71  2021-12-07    7\n",
       "72  2021-12-08   13\n",
       "73  2021-12-09   16\n",
       "74  2021-12-10    8\n",
       "75  2021-12-11    1\n",
       "\n",
       "[76 rows x 2 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comment_per_day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "914ee7b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "43554ffc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# windows解决中文乱码\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] # 用来正常显示中文标签\n",
    "\n",
    "# mac解决中文乱码\n",
    "# plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']\n",
    "\n",
    "plt.rcParams['axes.unicode_minus']=False # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "432aacd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "sns.lineplot(data=comment_per_day, x=\"date\", y=\"cnt\")\n",
    "plt.xticks(rotation = 60)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "40b27afa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import jieba\n",
    "import stylecloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "66049372",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      None\n",
       "1      None\n",
       "2      None\n",
       "3      None\n",
       "4      None\n",
       "       ... \n",
       "795    None\n",
       "796    None\n",
       "797    None\n",
       "798    None\n",
       "799    None\n",
       "Name: content, Length: 800, dtype: object"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words_list = []\n",
    "commentsDF['content'].apply(lambda x:words_list.append(\" \".join(jieba.cut(x))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "382daff7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'24 号 首发 送到 的   手机 特别 特别 特别 好看   贴 了 钢化 膜   边框 膜   镜头 膜   还有 钢化 手机 壳   这些 配件 到 了 好久 终于 能用 上 了   还录 了 开箱 视频   真的 特别 好看   京东 太好了   现在 坐等 赠送 的 applecare 到 账 了'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words_list[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "81fb37b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "stylecloud.gen_stylecloud(\n",
    "        text=\" \".join(words_list), # 上面分词的结果作为文本传给text参数\n",
    "        size=512,\n",
    "        font_path='msyh.ttc', # 字体设置\n",
    "        palette='cartocolors.qualitative.Pastel_7', # 调色方案选取，从palettable里选择\n",
    "        gradient='horizontal', # 渐变色方向选了垂直方向\n",
    "        icon_name='fab fa-weixin',  # 蒙版选取，从Font Awesome里选\n",
    "        output_name='./iphone-13-pro-family-her1o.png') # 输出词云图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "970153cf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
